Last updated on Monday, June 2, 2025
AI is everywhere. But most revenue teams are still stuck with forecasts that are manual, lagging, or built in disconnected tools that don’t reflect how their business actually works.
It’s no wonder so many companies miss their revenue targets.
At revVana, we’ve taken a different approach. Instead of layering on more dashboards or scoring systems, we’ve focused on making forecasting more intelligent, more connected, and more reflective of reality, no matter how your revenue comes in.
AI-Powered Forecasting, Natively in Salesforce
revVana brings advanced forecasting models directly into your Salesforce workflow, so you can automatically project future revenue based on actual sales data, usage trends, project milestones, and more. You don’t have to jump between tools or chase down spreadsheets. Forecasts update in real time, where your teams already live.
Works Across Any Revenue Model
Usage-based. Project-based. Pipeline-based. We’ve built revVana to handle the complexity behind the scenes, so your teams can focus on what’s next, not just what’s already happened. Whether you’re selling subscriptions, services, or consumption products, our AI adapts to your business model without needing custom builds or workarounds.
A Forecast Everyone Can Trust
Because revVana integrates across Sales Cloud, Revenue Cloud, and Data Cloud, your forecasts are always tied to your current pipeline, customer activity, and historical data. Everyone, from sales to finance, can work from the same playbook, without second-guessing the numbers.
See What’s Coming Before It Hits
revVana’s models pick up on trends that often get missed, like slowing consumption patterns or delayed project timelines, giving you time to adjust before it’s too late. No more waiting for the end of the quarter to find out what’s off.
Plan Smarter
Our AI doesn’t just spit out predictions, it helps teams plan more effectively. Need to see how a delay in one region impacts quarterly revenue? Want to model different sales scenarios? It’s all possible, and it’s all connected.
We know forecasting touches sensitive information. That’s why revVana is built with the access controls, security, and governance you’d expect from a platform that lives inside Salesforce. Forecasting can be smart and safe.
You don’t have to overhaul your systems to start seeing results.
Here’s how most teams get started:
Step 1: Align your data and revenue patterns in Salesforce
Step 2: Use AI models to forecast revenue at the rep, product, or account level
Step 3: Share real-time forecasts across teams
Step 4: Let the models adapt as your business evolves
The point of AI isn’t to give you more charts. It’s to help you make better decisions, faster, and with less manual effort.
If you’re ready to build forecasting into the way your team actually works, not just into a report, we’d love to talk.
Revenue Operations has evolved from a back-office support function into a critical driver of strategic growth. In today’s complex go-to-market environment, where teams are juggling everything from consumption billing and milestone-based contracts to partner channels and recurring services, RevOps must step up to architect how revenue flows, not just how departments function.
Forecasting revenue is never easy, but for companies with usage-based business models, it’s especially complex. Traditional forecasting approaches often break down when revenue isn’t tied to fixed subscription fees or deal stages, but instead to how much your product is actually used.
Consumption-based pricing is quickly becoming a powerful approach, providing flexibility that allows customers to pay only for the resources they use—whether it’s storage, API calls, or CPU hours. Known as pay-as-you-go, metered billing, or usage-based pricing, this model is increasingly popular across industries like cloud computing, IaaS, SaaS. While it offers clear benefits for both users and providers, this flexibility brings unique challenges to the forefront, particularly around revenue predictability and effective resource allocation.